Evidence map›Paper›PMID 35910575›Full record

ArticleFrontiers in physiology2022

A Spectral Principal Component Analysis-Based Framework for Composite Hard/Soft Tissue Fluorescence Image Investigation.

Marie Piriou, Corinne Lorenzo, Isabelle Raymond-Letron, Sophie Coronas-Dupuis, Laetitia Pieruccioni, Jacques Rouquette, Christophe Guissard, Jade Chaumont, Louis Casteilla, Valérie Planat-Benard and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 1 country.

Marie PiriouDental Faculty and Hospital of Toulouse-Toulouse Institute of Oral Medicine and Science, CHU de Toulouse, Toulouse, France.
Corinne LorenzoRestore Research Center, Université de Toulouse, INSERM 1301, CNRS 5070, EFS, ENVT, Toulouse, France.
Isabelle Raymond-LetronRestore Research Center, Université de Toulouse, INSERM 1301, CNRS 5070, EFS, ENVT, Toulouse, France.
Sophie Coronas-DupuisRestore Research Center, Université de Toulouse, INSERM 1301, CNRS 5070, EFS, ENVT, Toulouse, France.
Laetitia PieruccioniRestore Research Center, Université de Toulouse, INSERM 1301, CNRS 5070, EFS, ENVT, Toulouse, France.
Jacques RouquetteRestore Research Center, Université de Toulouse, INSERM 1301, CNRS 5070, EFS, ENVT, Toulouse, France.
Christophe GuissardDental Faculty and Hospital of Toulouse-Toulouse Institute of Oral Medicine and Science, CHU de Toulouse, Toulouse, France.
Jade ChaumontDental Faculty and Hospital of Toulouse-Toulouse Institute of Oral Medicine and Science, CHU de Toulouse, Toulouse, France.
Louis CasteillaRestore Research Center, Université de Toulouse, INSERM 1301, CNRS 5070, EFS, ENVT, Toulouse, France.
Valérie Planat-BenardRestore Research Center, Université de Toulouse, INSERM 1301, CNRS 5070, EFS, ENVT, Toulouse, France.
Philippe KemounDental Faculty and Hospital of Toulouse-Toulouse Institute of Oral Medicine and Science, CHU de Toulouse, Toulouse, France.
Paul MonsarratDental Faculty and Hospital of Toulouse-Toulouse Institute of Oral Medicine and Science, CHU de Toulouse, Toulouse, France.
Centre Hospitalier Universitaire de Toulouse · FRUniversité Fédérale de Toulouse Midi-Pyrénées · FRÉcole Nationale Vétérinaire de Toulouse · FRInserm · FRCentre National de la Recherche Scientifique · FRInstitut de Mathématiques de Toulouse · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional thin sectioning microscopy of large bone and dental tissue samples using demineralization may disrupt structure morphologies and even damage soft tissues, thus compromising the histopathological investigation. Here, we developed a synergistic and original framework on thick sections based on wide-field multi-fluorescence imaging and spectral Principal Component Analysis (sPCA) as an alternative, fast, versatile, and reliable solution, suitable for highly mineralized tissue structure sustain and visualization. Periodontal 2-mm thick sections were stained with a solution containing five fluorescent dyes chosen for their ability to discriminate close tissues, and acquisitions were performed with a multi-zoom macroscope for blue, green, red, and NIR (near-infrared) emissions. Eigen-images derived from both standard scaler (Std) and Contrast Limited Adaptive Histogram Equalization (Clahe) pre-preprocessing significantly enhanced tissue contrasts, highly suitable for histopathological investigation with an

Indexed as

algorithmic processingfluorescencemineralized tissuesperiodontal structuresprincipal component analysisspectral microscopy

Identifiers

PMID35910575
PMCPMC9325997
OpenAlexW4285085507

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.